High-utility itemset mining with effective pruning strategies

JMT Wu, JCW Lin, A Tamrakar - ACM Transactions on Knowledge …, 2019 - dl.acm.org
High-utility itemset mining is a popular data mining problem that considers utility factors,
such as quantity and unit profit of items besides frequency measure from the transactional …

Mining high utility itemsets without candidate generation

M Liu, J Qu - Proceedings of the 21st ACM international conference …, 2012 - dl.acm.org
High utility itemsets refer to the sets of items with high utility like profit in a database, and
efficient mining of high utility itemsets plays a crucial role in many real-life applications and …

FHM: Faster high-utility itemset mining using length upper-bound reduction

P Fournier-Viger, JCW Lin, QH Duong… - … Conference on Industrial …, 2016 - Springer
High-utility itemset (HUI) mining is a popular data mining task, consisting of enumerating all
groups of items that yield a high profit in a customer transaction database. However, an …

High utility itemset mining with techniques for reducing overestimated utilities and pruning candidates

U Yun, H Ryang, KH Ryu - Expert Systems with Applications, 2014 - Elsevier
High utility itemset mining considers the importance of items such as profit and item
quantities in transactions. Recently, mining high utility itemsets has emerged as one of the …

UP-Growth: an efficient algorithm for high utility itemset mining

VS Tseng, CW Wu, BE Shie, PS Yu - Proceedings of the 16th ACM …, 2010 - dl.acm.org
Mining high utility itemsets from a transactional database refers to the discovery of itemsets
with high utility like profits. Although a number of relevant approaches have been proposed …

EFIM: a fast and memory efficient algorithm for high-utility itemset mining

S Zida, P Fournier-Viger, JCW Lin, CW Wu… - … and Information Systems, 2017 - Springer
In recent years, high-utility itemset mining has emerged as an important data mining task.
However, it remains computationally expensive both in terms of runtime and memory …

mHUIMiner: A fast high utility itemset mining algorithm for sparse datasets

AY Peng, YS Koh, P Riddle - Advances in Knowledge Discovery and Data …, 2017 - Springer
High utility itemset mining is the problem of finding sets of items whose utilities are higher
than or equal to a specific threshold. We propose a novel technique called mHUIMiner …

CLS-Miner: efficient and effective closed high-utility itemset mining

TL Dam, K Li, P Fournier-Viger, QH Duong - Frontiers of Computer Science, 2019 - Springer
High-utility itemset mining (HUIM) is a popular data mining task with applications in
numerous domains. However, traditional HUIM algorithms often produce a very large set of …

FOSHU: faster on-shelf high utility itemset mining--with or without negative unit profit

P Fournier-Viger, S Zida - Proceedings of the 30th annual ACM …, 2015 - dl.acm.org
High utility itemset (HUI) mining is a popular data mining task, which consists of discovering
sets of items generating high profit in a transaction database. Recently, several efficient …

A fast algorithm for mining high average-utility itemsets

JCW Lin, S Ren, P Fournier-Viger, TP Hong, JH Su… - Applied …, 2017 - Springer
Mining high-utility itemsets (HUIs) in transactional databases has become a very popular
research topic in recent years. A popular variation of the problem of HUI mining is to …